humanticclient 0.1.2

Python client for Humantic AI API - Analyze LinkedIn profiles for sales and hiring insights

humanticclient

Python client for Humantic AI API - Analyze LinkedIn profiles for sales and hiring insights.

Features

• Get or Create Pattern - Automatically creates profile analysis if it doesn't exist
• Sales & Hiring Personas - Get insights tailored for sales outreach or hiring evaluations
• CLI Tool - Command-line interface for quick analysis
• Python Library - Use as a library in your Python projects
• JSON Output - Output to stdout or save to file

Installation

pip install humanticclient

Configuration

Set your API key via environment variable or .env file:

export HUMANTIC_API_KEY=your_api_key_here

Or create a .env file:

HUMANTIC_API_KEY=your_api_key_here

CLI Usage

# Print JSON to stdout
humantic "https://www.linkedin.com/in/username/"

# Save to file
humantic "https://www.linkedin.com/in/username/" -o output.json

# Specify persona (sales or hiring)
humantic "https://www.linkedin.com/in/username/" -p hiring -o output.json

# Pass API key directly
humantic "https://www.linkedin.com/in/username/" --api-key YOUR_KEY

CLI Options

Option	Short	Description
--output	-o	Save output to JSON file
--persona	-p	Persona: sales (default) or hiring
--api-key		API key (overrides env var)

Python Library Usage

from humantic import HumanticClient

# Initialize client (reads HUMANTIC_API_KEY from env)
with HumanticClient() as client:
    # Get or create profile analysis
    result = client.get_or_create_profile(
        "https://www.linkedin.com/in/username/",
        persona="sales"
    )
    print(result)

API Methods

from humantic import HumanticClient

client = HumanticClient(api_key="your_key")

# Create a new profile analysis
client.create_profile("https://www.linkedin.com/in/username/")

# Fetch existing profile
result = client.fetch_profile("https://www.linkedin.com/in/username/", persona="sales")

# Get or create (waits for analysis to complete)
result = client.get_or_create_profile("https://www.linkedin.com/in/username/", persona="sales")

Response Structure

{
  "status": "200",
  "message": "Success",
  "results": {
    "first_name": "John",
    "last_name": "Doe",
    "display_name": "John Doe",
    "user_description": "...",
    "personality_analysis": {
      "disc_assessment": {...},
      "ocean_assessment": {...}
    },
    "persona": {
      "sales": {
        "email_personalization": {...},
        "cold_calling_advice": {...},
        "communication_advice": {...}
      }
    }
  },
  "metadata": {
    "status": "FOUND",
    "analysis_status": "COMPLETE"
  }
}

Development

# Install with dev dependencies
pip install -e .

# Run CLI directly
python -m humantic.cli "https://www.linkedin.com/in/username/"

License

MIT License

Links

• Humantic AI Documentation
• GitHub Repository